Each lesson is followed by list of key concepts and sample questions to help you study for your ITIL(R) Foundation certification exam. Chapter review questions, modeled after the real exam questions, reinforce your learning for each unit.Written by an ITIL(R) Expert trainer who has taught thousands of students and hundreds of organizations, "Foundations of IT Service Management with ITIL(R) 2011" provides a reader with the introduction to this approach to IT services without the expense of a formal classroom course. While the focus is primarily on providing information required to pass the ITIL(R) Foundations exam, this book goes beyond those basics to also provide a real understanding of ITIL(R) to further your knowledge and abilities as a valuable part of IT/business alignment. Using a case-study approach, real issues are discussed that represents challenges experienced by almost every IT organization.Everyone prepares for the ITIL(R) Foundation certification exam in different ways. Accompanying the book are numerous study aids to support your study preparation on the supporting web site. Whether you are new to IT or a seasoned professional, this book is one you need to aid in your quest for certification.Included in your purchase is access to the online study resources including:- Exercise guide- Audio "learn while you drive" reviews- Sample exams- Exam syllabus- PDF version of the "100 ITIL Exam Questions" bookCompanies in all industries are requiring ITIL(R) Foundation as a minimum requirement for their staff. Whether you are entering IT for the first time or switching jobs, ITIL(R) Foundation certification is a step toward your desired career.

    It is designed to be used in conjunction with code provided on an online repository. The book complements and explains the raw code in a way that is accessible to anyone who regularly practices the art of programming. The book can also be used in advanced programming courses in computer science and software engineering programs.The book contains 33 different styles for writing the term frequency task. The styles are grouped into nine categories: historical, basic, function composition, objects and object interactions, reflection and metaprogramming, adversity, data-centric, concurrency, and interactivity. The author verbalizes the constraints in each style and explains the example programs. Each chapter first presents the constraints of the style, next shows an example program, and then gives a detailed explanation of the code. Most chapters also have sections focusing on the use of the style in systems design as well as sections describing the historical context in which the programming style emerged.

    The authors are well-known for their clear presentation that makes the material accessible to a a broad audience and requires no special previous mathematical experience. KEY TOPICS: In this new edition, the authors incorporate a somewhat more informal, friendly writing style to present both classical and contemporary theories of computation. Algorithms, complexity analysis, and algorithmic ideas are introduced informally in Chapter 1, and are pursued throughout the book. Each section is followed by problems.

    Due to contractual restrictions, we reserve the right not to supply certain territories. Table of Contents Foreword Preface General Introduction Market Milk Special Milks Cream Butter Butteroil Ice Cream Cheese Condensed Milks Dried Milks Dried Milk Products Indian Dairy Products By-Products Appendices Index

    The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to take a hard pass on Knuth's brilliant but impenetrable theories and the dense multi-page proofs you'll find in most textbooks, this is the book for you. This fully-illustrated and engaging guide makes it easy for you to learn how to use algorithms effectively in your own programs.Grokking Algorithms is a disarming take on a core computer science topic. In it, you'll learn how to apply common algorithms to the practical problems you face in day-to-day life as a programmer. You'll start with problems like sorting and searching. As you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression or artificial intelligence. Whether you're writing business software, video games, mobile apps, or system utilities, you'll learn algorithmic techniques for solving problems that you thought were out of your grasp. For example, you'll be able to:Write a spell checker using graph algorithmsUnderstand how data compression works using Huffman codingIdentify problems that take too long to solve with naive algorithms, and attack them with algorithms that give you an approximate answer insteadEach carefully-presented example includes helpful diagrams and fully-annotated code samples in Python. By the end of this book, you will know some of the most widely applicable algorithms as well as how and when to use them.

    Selected for originality, general interest, or because they demonstrate valuable techniques, the problems are ideal as a supplement to courses in probability or statistics, or as stimulating recreation for the mathematically minded. Detailed solutions. Illustrated.

     -Byte, September 1995 I can't begin to tell you how many pleasurable hours of study and recreation they have afforded me! I have pored over them in cars, restaurants, at work, at home... and even at a Little League game when my son wasn't in the line-up. -Charles Long If you think you're a really good programmer... read [Knuth's] Art of Computer Programming... You should definitely send me a resume if you can read the whole thing. -Bill Gates It's always a pleasure when a problem is hard enough that you have to get the Knuths off the shelf. I find that merely opening one has a very useful terrorizing effect on computers. -Jonathan Laventhol This first volume in the series begins with basic programming concepts and techniques, then focuses more particularly on information structures-the representation of information inside a computer, the structural relationships between data elements and how to deal with them efficiently. Elementary applications are given to simulation, numerical methods, symbolic computing, software and system design. Dozens of simple and important algorithms and techniques have been added to those of the previous edition. The section on mathematical preliminaries has been extensively revised to match present trends in research. Ebook (PDF version) produced by Mathematical Sciences Publishers (MSP), http: //msp.org

    Find the best of the magazine's writing in Best of 2600: A Hacker Odyssey, a collection of the strongest, most interesting, and often most controversial articles covering 24 years of changes in technology, all from a hacker's perspective. Included are stories about the creation of the infamous tone dialer "red box" that allowed hackers to make free phone calls from payphones, the founding of the Electronic Frontier Foundation, and the insecurity of modern locks.

    Virtually every choice we make hinges on how someone generates data . . . and how someone else interprets it--whether we realize it or not.Where do you send your child for the best education? Big Data. Which airline should you choose to ensure a timely arrival? Big Data. Who will you vote for in the next election? Big Data.The problem is, the more data we have, the more difficult it is to interpret it. From world leaders to average citizens, everyone is prone to making critical decisions based on poor data interpretations.In Numbersense, expert statistician Kaiser Fung explains when you should accept the conclusions of the Big Data experts--and when you should say, Wait . . . what? He delves deeply into a wide range of topics, offering the answers to important questions, such as:How does the college ranking system really work?Can an obesity measure solve America's biggest healthcare crisis?Should you trust current unemployment data issued by the government?How do you improve your fantasy sports team?Should you worry about businesses that track your data?Don't take for granted statements made in the media, by our leaders, or even by your best friend. We're on information overload today, and there's a lot of bad information out there.Numbersense gives you the insight into how Big Data interpretation works--and how it too often doesn't work. You won't come away with the skills of a professional statistician. But you will have a keen understanding of the data traps even the best statisticians can fall into, and you'll trust the mental alarm that goes off in your head when something just doesn't seem to add up.Praise for NumbersenseNumbersense correctly puts the emphasis not on the size of big data, but on the analysis of it. Lots of fun stories, plenty of lessons learned--in short, a great way to acquire your own sense of numbers!Thomas H. Davenport, coauthor of Competing on Analytics and President's Distinguished Professor of IT and Management, Babson CollegeKaiser's accessible business book will blow your mind like no other. You'll be smarter, and you won't even realize it. Buy. It. Now.Avinash Kaushik, Digital Marketing Evangelist, Google, and author, Web Analytics 2.0Each story in Numbersense goes deep into what you have to think about before you trust the numbers. Kaiser Fung ably demonstrates that it takes skill and resourcefulness to make the numbers confess their meaning.John Sall, Executive Vice President, SAS InstituteKaiser Fung breaks the bad news--a ton more data is no panacea--but then has got your back, revealing the pitfalls of analysis with stimulating stories from the front lines of business, politics, health care, government, and education. The remedy isn't an advanced degree, nor is it common sense. You need Numbersense.Eric Siegel, founder, Predictive Analytics World, and author, Predictive AnalyticsI laughed my way through this superb-useful-fun book and learned and relearned a lot. Highly recommended! Tom Peters, author of In Search of Excellence

    This book explains the technical aspects of hacking, including stack based overflows, heap based overflows, string exploits, return-into-libc, shellcode, and cryptographic attacks on 802.11b.

    KEY TOPICS Topical selection is based on the significance of each topic in modern industrial applications and the impact that each topic is likely to have in emerging technologies. Integrated circuit theory is covered extensively, including coverage of analog and digital integrated circuit design, operational amplifier theory and applications, and specialized electronic devices and circuits such as switching regulators and optoelectronics. For electronic engineers and technologists.

    But which claims are verifiable, and which are merely wishful thinking? In this book, leading thinkers such as Steve McConnell, Barry Boehm, and Barbara Kitchenham offer essays that uncover the truth and unmask myths commonly held among the software development community. Their insights may surprise you.Are some programmers really ten times more productive than others?Does writing tests first help you develop better code faster?Can code metrics predict the number of bugs in a piece of software?Do design patterns actually make better software?What effect does personality have on pair programming?What matters more: how far apart people are geographically, or how far apart they are in the org chart?Contributors include:Jorge Aranda Tom Ball Victor R. Basili Andrew Begel Christian Bird Barry Boehm Marcelo Cataldo Steven Clarke Jason Cohen Robert DeLine Madeline Diep Hakan Erdogmus Michael Godfrey Mark Guzdial Jo E. Hannay Ahmed E. Hassan Israel Herraiz Kim Sebastian Herzig Cory Kapser Barbara Kitchenham Andrew Ko Lucas Layman Steve McConnell Tim Menzies Gail Murphy Nachi Nagappan Thomas J. Ostrand Dewayne Perry Marian Petre Lutz Prechelt Rahul Premraj Forrest Shull Beth Simon Diomidis Spinellis Neil Thomas Walter Tichy Burak Turhan Elaine J. Weyuker Michele A. Whitecraft Laurie Williams Wendy M. Williams Andreas Zeller Thomas Zimmermann

    Starting with the fundamentals, it describes the most advanced features of the most advanced language: Common Lisp. Only the top percentile of programmers use lisp and if you can understand this book you are in the top percentile of lisp programmers. If you are looking for a dry coding manual that re-hashes common-sense techniques in whatever langue du jour, this book is not for you. This book is about pushing the boundaries of what we know about programming. While this book teaches useful skills that can help solve your programming problems today and now, it has also been designed to be entertaining and inspiring. If you have ever wondered what lisp or even programming itself is really about, this is the book you have been looking for.

    After one keynote I was asked for a non-technical guide to understand blockchains. This is it.The book aims to help you get your head around blockchains in general and around Ethereum specifically. Since Ethereum is currently the pre-imminent blockchain, it makes sense as reference point. The essential stuff is the same for any blockchain.This text was written for people with a fast grasp, who are not programmers. Reading this should give you the basics to cut through the hype and to identify blockchain opportunities in your professional domain. There are tiny bits of code, which can be admired and skipped.We'll look at Ethereum's benefits first, how it is used and what can be done with it; then explain blockchain machinery, visiting the terms that you'll be confronted with in every discussion about its application. Exactly what you need to tell the signal from the noise in the echo chamber of honest misunderstandings and desperate marketing.We take a good hard look at limitations, throw in some history and names and give a realistic outlook.The index reads like an FAQ and you can use the book like that. However, there is a strong build up, one chapter leading to the next, as optimized path to understanding all the interconnected, moving parts. There's quite a number of them.Blockchains are not a trivial topic. The fact that blockchain client programs are small has fooled many people into believing it can't possibly be that hard. The challenges are in the implications though.But what’s in this book will put you ahead of almost everyone outside the core bubble.A deep dive into this field now – at least getting started – will help you to become part of the fun ahead. It should allow you to stand out, land deals or a great job.It will also make you see first hand how early we are in the game.Hopefully, we will find a contributor to the blockchain community in you, strengthening the portfolio of real-world use cases. Ideally, you'll learn to navigate your own uncharted course through your domain and revolutionize it.